{"id":19706212,"url":"https://github.com/llnl/smoothg","last_synced_at":"2025-04-29T16:33:12.415Z","repository":{"id":29025514,"uuid":"120012141","full_name":"LLNL/smoothG","owner":"LLNL","description":"Mixed graph Laplacian upscaling and solvers","archived":false,"fork":false,"pushed_at":"2025-01-07T18:07:40.000Z","size":3437,"stargazers_count":13,"open_issues_count":7,"forks_count":3,"subscribers_count":5,"default_branch":"master","last_synced_at":"2025-04-05T18:11:30.026Z","etag":null,"topics":["cpp","graph","math-physics","solver"],"latest_commit_sha":null,"homepage":"","language":"C++","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"lgpl-2.1","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/LLNL.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"COPYING","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2018-02-02T17:43:52.000Z","updated_at":"2024-06-25T12:01:10.000Z","dependencies_parsed_at":"2024-11-11T21:34:48.561Z","dependency_job_id":"1bcb68f0-8bd7-4f0e-8a98-06a386a9c8cb","html_url":"https://github.com/LLNL/smoothG","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LLNL%2FsmoothG","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LLNL%2FsmoothG/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LLNL%2FsmoothG/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LLNL%2FsmoothG/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/LLNL","download_url":"https://codeload.github.com/LLNL/smoothG/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":251540492,"owners_count":21605912,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["cpp","graph","math-physics","solver"],"created_at":"2024-11-11T21:34:39.550Z","updated_at":"2025-04-29T16:33:07.399Z","avatar_url":"https://github.com/LLNL.png","language":"C++","readme":"smoothG [![Build Status](https://travis-ci.org/LLNL/smoothG.svg?branch=master)](https://travis-ci.org/LLNL/smoothG)\n=================\n\n\u003c!-- BHEADER ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++\n +\n + Copyright (c) 2018, Lawrence Livermore National Security, LLC.\n + Produced at the Lawrence Livermore National Laboratory.\n + LLNL-CODE-745247. All Rights reserved. See file COPYRIGHT for details.\n +\n + This file is part of smoothG. For more information and source code\n + availability, see https://www.github.com/llnl/smoothG.\n +\n + smoothG is free software; you can redistribute it and/or modify it under the\n + terms of the GNU Lesser General Public License (as published by the Free\n + Software Foundation) version 2.1 dated February 1999.\n +\n +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ EHEADER --\u003e\n\n![\"smoothG logo](doc/smoothg_logo.png)\n\nMixed graph-Laplacian upscaling and solvers.\n\nFor installation instructions, see [INSTALL.md](INSTALL.md).\n\nFor a tutorial walkthrough of the example code, see [EXAMPLE.md](doc/EXAMPLE.md).\n\nThis project is intended to take a graph and build a smaller (upscaled)\ngraph that is representative of the original in some way. We represent\nthe graph Laplacian in a mixed form, solve some local eigenvalue problems\nto uncover near-nullspace modes, and use those modes as coarse degrees\nof freedom.\n\nThis code is based largely on the following paper:\n\n\u003e A.T. Barker, C.S. Lee, and P.S. Vassilevski, Spectral upscaling for \n\u003e graph Laplacian problems with application to reservoir simulation, *SIAM\n\u003e J. Sci. Comput.*, Vol. 39, No. 5, pp. S323–S346.\n\nThis code has contributions from:\n- Andrew T. Barker (atb@llnl.gov)\n- Stephan Gelever (gelever1@llnl.gov)\n- Chak Shing Lee (cslee@llnl.gov)\n- Colin Ponce (ponce11@llnl.gov)\n\nCopyright (c) 2018, Lawrence Livermore National Security, LLC.\nThis work was performed under the auspices of the U.S. Department of Energy by\nLawrence Livermore National Laboratory under Contract DE-AC52-07NA27344.\nLLNL-CODE-745247.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fllnl%2Fsmoothg","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fllnl%2Fsmoothg","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fllnl%2Fsmoothg/lists"}